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EpiILMCT (version 1.1.7)

Continuous Time Distance-Based and Network-Based Individual Level Models for Epidemics

Description

Provides tools for simulating from continuous-time individual level models of disease transmission, and carrying out infectious disease data analyses with the same models. The epidemic models considered are distance-based and/or contact network-based models within Susceptible-Infectious-Removed (SIR) or Susceptible-Infectious-Notified-Removed (SINR) compartmental frameworks. .

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Version

Install

install.packages('EpiILMCT')

Monthly Downloads

246

Version

1.1.7

License

GPL (>= 2)

Issues

1

Pull Requests

0

Stars

6

Forks

2

Maintainer

Waleed Almutiry

Last Published

June 29th, 2021

Functions in EpiILMCT (1.1.7)

NetworkDataSINR

Simulated epidemic data set from a network-based SINR ILM
as.epidat

Continuous Time level information of an Epidemic
plot.contactnet

Plot the contact network of contactnet object
datagen

Generate epidemics from distance-based and/or network-based continuous-time ILMs.
loglikelihoodepiILM

Calculates the log likelihood
epictmcmc

Markov Chain Monte Carlo-based tool for analyzing (SIR/SINR) distance-based/network-based individual-level disease data.
NetworkData

Simulated epidemic data set from a network-based SIR ILM
SpatialNetData

Simulated epidemic data set from a distance and network-based SIR ILM
contactnet

Generate binary adjacency matrix contact networks
SpatialData

Simulated epidemic data set from a distance-based SIR ILM
tswv

Tomato Spotted Wilt Virus data
plot.datagen

S3 method to plot summary of epidemic.
plot.epictmcmc

Plot the output of epictmcmc object
print.epictmcmc

Prints the contents of an epictmcmc object to the console
summary.epictmcmc

Summary method for epictmcmc objects